Opendata, web and dolomites

One-EG

Wearable Brain Monitoring Technology for Quick Diagnosis of Sleep Disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 One-EG project word cloud

Explore the words cloud of the One-EG project. It provides you a very rough idea of what is the project "One-EG" about.

attending    clinic    times    ease    electrodes    full    medical    repositioning    manually    uncomfortable    sleep    erc    preferably    channel    sensors    ultralow    emg    tend    trained    she    rem    de    head    signals    size    limited    bulky    quality    indicative    tiny    ambulatory    single    eeg    ing    supervised    limitation    wired    smaller    techniques    certain    lack    hooked    fact    power    amongst    breakthrough    monitored    pi    difficulty    raw    analysed    patient    lighter    automatic    places    eog    disorders    grant    impair    home    monitoring    signal    specialists    diseases    phases    hours    unpractically    he    subsequently    sent    occasionally    diagnosing    boxes    amount    wearable    additionally    starting    connected    hardware    ones    first    expert    standard    attached    biomarkers    create    time    multiple    accuracy    attaching    minus    heavy    overnight    diagnosis    facilitated    wires    comfortability    channels    disease    neurophysiological   

Project "One-EG" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙997 €
 EC max contribution 149˙997 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2017-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 149˙997.00

Map

 Project objective

The standard method of diagnosing sleep disorders involves the patient attending a sleep clinic overnight where he/she is hooked by trained specialists to bulky, uncomfortable wired sensors, and monitored during sleep; preferably supervised because the sensors tend to get de-attached and require repositioning. The raw signals are subsequently manually analysed by a medical expert, this taking over 2 hours. Occasionally, for certain diseases the patient is sent home with an ambulatory system which is able to provide a very limited amount of information and is only relevant to some disorders. The main limitation of ambulatory sleep monitoring is that neurophysiological channels (EEG, EMG and EOG) cannot be used in practice. These are however the only ones that can provide full information about the different sleep phases as well as certain sleep biomarkers which are indicative of disease. The lack of neurophysiological channels is due to the unpractically high number that is required to identify sleep phases (specifically REM) and the associated difficulty on attaching them. Additionally, they are very uncomfortable for the user because the sensors (electrodes on different places on the head) are connected by wires to bulky and heavy boxes which impair the quality of sleep. This project will use state-of-the-art signal processing and hardware design techniques resulting from the PI’s ERC Starting Grant to create a novel, ultralow power, tiny, user friendly, and- for the first time- single channel EEG wearable technology for automatic monitoring of sleep, and diagnosis of sleep disorders. The technology will represent a major breakthrough because of, amongst others: 1. Its size− over 20 times lighter and 50 times smaller than any other existing system. 2. Its ease of use and comfortability, facilitated by the fact that will be just one-channel EEG. 3. Its accuracy in automatic sleep analysis, comparable to multiple channel (i.e. non wearable) systems.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ONE-EG" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "ONE-EG" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

EASY-IPS (2019)

a rapid and efficient method for generation of iPSC

Read More  

ENTRAPMENT (2019)

Septins: from bacterial entrapment to cellular immunity

Read More  

ORGANITRA (2019)

Transport of phosphorylated compounds across lipid bilayers by supramolecular receptors

Read More